Informed machine learning–a taxonomy and survey of integrating prior knowledge into learning systems
Despite its great success, machine learning can have its limits when dealing with insufficient
training data. A potential solution is the additional integration of prior knowledge into the …
training data. A potential solution is the additional integration of prior knowledge into the …
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
The so-called “smartization” of manufacturing industries has been conceived as the fourth
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …
Leading teachers' perspective on teacher-AI collaboration in education
J Kim - Education and Information Technologies, 2024 - Springer
Moving beyond the direct support all alone by a human teacher or an Artificial Intelligence
(AI) system, optimizing the complementary strengths of the two has aroused great …
(AI) system, optimizing the complementary strengths of the two has aroused great …
[HTML][HTML] Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Medical artificial intelligence (AI) systems have been remarkably successful, even
outperforming human performance at certain tasks. There is no doubt that AI is important to …
outperforming human performance at certain tasks. There is no doubt that AI is important to …
CRISP-DM twenty years later: From data mining processes to data science trajectories
F Martínez-Plumed… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
CRISP-DM (CRoss-Industry Standard Process for Data Mining) has its origins in the second
half of the nineties and is thus about two decades old. According to many surveys and user …
half of the nineties and is thus about two decades old. According to many surveys and user …
[HTML][HTML] Social media analytics–Challenges in topic discovery, data collection, and data preparation
Since an ever-increasing part of the population makes use of social media in their day-to-
day lives, social media data is being analysed in many different disciplines. The social …
day lives, social media data is being analysed in many different disciplines. The social …
Healthcare expenditure and economic performance: insights from the United States data
V Raghupathi, W Raghupathi - Frontiers in public health, 2020 - frontiersin.org
This research explores the association of public health expenditure with economic
performance across the United States. Healthcare expenditure can result in better provision …
performance across the United States. Healthcare expenditure can result in better provision …
Social big data: Recent achievements and new challenges
Big data has become an important issue for a large number of research areas such as data
mining, machine learning, computational intelligence, information fusion, the semantic Web …
mining, machine learning, computational intelligence, information fusion, the semantic Web …
Visual learning analytics of educational data: A systematic literature review and research agenda
We present a systematic literature review of the emerging field of visual learning analytics.
We review existing work in this field from two perspectives: First, we analyze existing …
We review existing work in this field from two perspectives: First, we analyze existing …
Una revisión actualizada del concepto de eLearning: Décimo Aniversario= An updated review of the concept of eLearning: Tenth anniversary
FJ García Peñalvo, AM Seoane Pardo - Education in The Knowledge …, 2015 - torrossa.com
Una revisión actualizada del concepto de eLearning : décimo Aniversario = An updated
review of the concept of eLearning : tent Page 1 119 EKS abril 2015 vol.16 nº 1 Una …
review of the concept of eLearning : tent Page 1 119 EKS abril 2015 vol.16 nº 1 Una …